Data Scientist

Data Scientist - London (Hybrid) - 200k+

Company

We are working with a global energy trading organisation who are committed to building a best-in-class Data Science platform, as being at the forefront of data management and analytics is the foundation to their investment strategy.

Role

We are looking for a Data Scientist with expertise in power, gas, or petroleum market analytics, time series forecasting, and machine learning model development to join the London team

Your Responsibilities

• Collaborate with desk heads, traders, and analysts to understand data requirements and perform time series forecasting for European Power, Natural Gas, and Petroleum markets.
• Develop machine learning models and deliver end-to-end data science solutions using advanced analytics and custom coding.
• Apply mathematical and statistical fundamentals to enhance existing applications, create new data ingestion pipelines, and source new data sets.
• Communicate insights to stakeholders through reports and presentations and support global Risk and Commercial investing teams with their data needs.

Key Skills

• Minimum 2+ years of experience in a Data Science role within an energy commodity trading or investment firm (ideally within Oil industry)
• Proven experience with time series forecasting and machine learning techniques in the energy markets, strong programming skills in Python and SQL, and familiarity with frameworks such as TensorFlow, PyTorch, and Scikit-learn.
• Excellent problem-solving skills, ability to work independently and as part of a team, and strong communication skills for conveying complex technical concepts to non-technical stakeholders.

Benefits

• Base Salary
• Discretionary bonus
• Private Medical Insurance
• Private Dental Insurance
• Hybrid/Flexible Working

Sponsorship cannot be offered for this role.

Apply below with an up to date CV below to set up an initial call.